Google: Gemini 3.7 Flash (batch)
Google: Gemini 3.7 Flash (batch) ranks #14 of 101 models by Artificial Analysis quality score (56) at $0.75/1M tokens blended - and ranks #12 of 312 by average real OpenRouter usage share over the trailing 54-day window (2.42%). Available from 2 providers at up to 100.0% uptime.
- Quality (Intelligence Index) - 56
- Coding index - 76.1
- Agentic index - 45.1
- Price (blended $/1M) - 0.75
- Context window - 1,048,576
- Usage rank - #12 of 312
- Providers - 2
- Open/closed - closed
Usage share over time
What Google: Gemini 3.7 Flash (batch) is actually used for
Share of each real task category's classified traffic this model handles, from OpenRouter's task classification.
| Task | Share of task traffic |
|---|---|
| Shell Execution | 13.9% |
| Debugging | 5.4% |
| Workflow Execution | 4.7% |
| Math | 3.3% |
| Repo Scanning | 3.0% |
| Multi-step Planning | 2.8% |
| Tool Dispatch | 2.5% |
| Code Generation | 2.3% |
Compare Google: Gemini 3.7 Flash (batch)
Frequently asked questions
What is Google: Gemini 3.7 Flash (batch)'s quality score?
Google: Gemini 3.7 Flash (batch) scores 56 on Artificial Analysis's Intelligence Index, ranking #14 of 101 models with a published score.
How much does Google: Gemini 3.7 Flash (batch) cost?
Google: Gemini 3.7 Flash (batch) costs $0.75 per 1M tokens (blended 75% prompt / 25% completion pricing).
Is Google: Gemini 3.7 Flash (batch) widely used?
Google: Gemini 3.7 Flash (batch) ranks #12 of 312 models by average real OpenRouter usage share, averaging 2.42% of classified token volume over the trailing 54-day window.
Is Google: Gemini 3.7 Flash (batch) open-weight or closed?
Google: Gemini 3.7 Flash (batch) is a closed-weight model.
Source: OpenRouter (openrouter.ai/rankings), as of August 28, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: www.smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.
